How it works
To connect Google Drive and Supabase, you don't need a developer: a ready-made scenario links them in minutes.
- Starts when: When chat message received
- Then: AI Agent
- Then: Simple Memory
- Then: OpenAI Chat Model
- Then: Google Drive
- Then: Extract from File
- Then: Set Text
- Then: Generate Hash
- Then: Search Record Manager
- Check: Switch
- If yes: Create Row in Record Manager
- Then: Basic LLM Chain
- Then: Set Text for Chunking
- Then: Call My Sub-workflow
- Check: Loop Over Items
- If no: Delete Previous Vectors
- Then: Aggregate
- Then: Update Record Manager
- Then: Structured Output Parser
- Then: OpenAI Chat Model1
- Check: Loop Over Items1
- Then: Search Record Manager1
- Check: If1
- If yes: Delete Previous Vectors1
- Then: Aggregate1
- Then: Delete Record from Record Manager1
- Then: Google Drive2
- Starts when: Watch GD Trash
- Starts when: Watch GD RAG Files
- Starts when: When Executed by Another Workflow
- Then: Embedding
- Then: Edge Function
- Then: Query Vector Store
- Then: Supabase Vector Store1
- Check: Loop Over Items2
- Then: Aggregate2
- Then: Add Context
- Then: Set Up Chunks for Embedding
- Then: Wait
- Then: Embeddings OpenAI1
- Then: Default Data Loader
- Then: Recursive Character Text Splitter
- Then: Recursive Splitter2
- Then: Split Out
- Then: Metadata
- Then: OpenAI Chat Model2
You can launch this Google Drive + Supabase integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.